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Privacy Preserving

Papers

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Showing 2751–2800 of 2975 papers

TitleStatusHype
Federated Learning: Challenges, Methods, and Future DirectionsCode0
AdaCliP: Adaptive Clipping for Private SGDCode0
PrivFT: Private and Fast Text Classification with Homomorphic Encryption—0
Distilling On-Device Intelligence at the Network Edge—0
Aggregating Votes with Local Differential Privacy: Usefulness, Soundness vs. Indistinguishability—0
Emotionless: Privacy-Preserving Speech Analysis for Voice AssistantsCode1
Local Differential Privacy for Deep LearningCode0
Adversarial Test on Learnable Image Encryption—0
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges—0
Privacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation—0
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and ProtectionCode0
ER-AE: Differentially Private Text Generation for Authorship AnonymizationCode0
Proof-of-Useful-Work as Dual-Purpose Mechanism for Blockchain and AI: Blockchain Consensus that Enables Privacy Preserving Data Mining—0
Federated Reinforcement Distillation with Proxy Experience Memory—0
Privacy-Preserving Classification with Secret Vector MachinesCode0
Protecting Privacy of Users in Brain-Computer Interface Applications—0
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERMCode0
Secure Summation via Subset Sums: A New Primitive for Privacy-Preserving Distributed Machine LearningCode0
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices—0
Secure Multi-party Computation for Cloud-based Control—0
Privacy Preserving QoE Modeling using Collaborative Learning—0
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher DiscriminatorsCode0
Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing—0
Scalable and Differentially Private Distributed Aggregation in the Shuffled Model—0
Novelty Messages Filtering for Multi Agent Privacy-preserving Planning—0
Real-Time Privacy-Preserving Data Release for Smart Meters—0
Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New DatasetCode1
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical RecordsCode0
Best-First Width Search for Multi Agent Privacy-preserving Planning—0
Private Deep Learning with Teacher Ensembles—0
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation: An Application to Hate-Speech Detection—0
On Privacy Protection of Latent Dirichlet Allocation Model Training—0
Towards Fair and Privacy-Preserving Federated Deep ModelsCode0
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas—0
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference—0
Secure Distributed On-Device Learning Networks With Byzantine Adversaries—0
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation—0
Privacy-Preserving Detection of IoT Devices Connected Behind a NAT in a Smart Home Setup—0
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification—0
Privacy-Preserving Causal Inference via Inverse Probability Weighting—0
Automatic Discovery of Privacy-Utility Pareto FrontsCode0
Federated Forest—0
Partially Encrypted Machine Learning using Functional EncryptionCode0
Privacy-Preserving Obfuscation of Critical Infrastructure Networks—0
Privacy Preserving Adjacency Spectral Embedding on Stochastic Blockmodels—0
TAPESTRY: A Blockchain based Service for Trusted Interaction Online—0
Reconstruction of Privacy-Sensitive Data from Protected Templates—0
Robust Federated Training via Collaborative Machine Teaching using Trusted Instances—0
Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization—0
Learning data-derived privacy preserving representations from information metrics—0
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